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Derivative-Free optimization algorithms. These algorithms do not require gradient information. More importantly, they can be used to solve non-smooth optimization problems.

copied from cf-post-staging / r-dfoptim
Type Size Name Uploaded Downloads Labels
conda 91.2 kB | noarch/r-dfoptim-2023.1.0-r45hc72bb7e_2.conda  3 months and 13 days ago 246 main
conda 90.9 kB | noarch/r-dfoptim-2023.1.0-r44hc72bb7e_2.conda  3 months and 13 days ago 247 main
conda 90.4 kB | noarch/r-dfoptim-2023.1.0-r44hc72bb7e_1.conda  1 year and 5 months ago 1128 main
conda 90.5 kB | noarch/r-dfoptim-2023.1.0-r43hc72bb7e_1.conda  1 year and 5 months ago 1161 main
conda 90.5 kB | noarch/r-dfoptim-2023.1.0-r42hc72bb7e_0.conda  2 years and 4 months ago 1443 main
conda 90.4 kB | noarch/r-dfoptim-2023.1.0-r43hc72bb7e_0.conda  2 years and 4 months ago 1462 main

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